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Healthopia: towards your well-being in everyday life

Published: 26 October 2011 Publication History

Abstract

In this paper, we propose Healthopia, a full-fledged health monitoring platform. With the prevalence of smartphones and wearable health sensors, sensor-enabled mobile well-being applications emerge, for instance, calorie monitor [13], fall detector [11], pollution detector, heartbeat monitor [1][4]. Despite the importance and usefulness of such applications, it is significantly challenging to develop such applications; developers should concern about many complicated issues, such as accurate data analysis and inferring, distributed programming over multiple sensing devices, resource optimization. To address such issues, and facilitate the development and deployment of the applications, we develop Healthopia platform. Using the declarative query-based API, applications can easily delegate monitoring requests for diverse health information, e.g., calorie consumption, heart condition, pollution level. Healthopia takes care of complicated underlying issues in sensor data processing and resource management, and delivers the requested health information. In this paper, we propose a novel sensor control technique applied in Healthopia, which reduces battery power significantly.

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Cited By

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  • (2020)Personalized and Contextualized Persuasion System for Older Adults’ Physical Activity PromotingThe Impact of Digital Technologies on Public Health in Developed and Developing Countries10.1007/978-3-030-51517-1_12(142-154)Online publication date: 23-Jun-2020
  • (2017)A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud servicesCluster Computing10.1007/s10586-017-1298-1Online publication date: 11-Nov-2017
  • (2016)Scalable and energy efficient software architecture for human behavioral measurement2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2016.7746349(1-8)Online publication date: Oct-2016
  • Show More Cited By

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. context monitoring
  2. healthcare application
  3. mobile computing
  4. resource saving
  5. smartphone
  6. wearable sensors
  7. well-being

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

View all
  • (2020)Personalized and Contextualized Persuasion System for Older Adults’ Physical Activity PromotingThe Impact of Digital Technologies on Public Health in Developed and Developing Countries10.1007/978-3-030-51517-1_12(142-154)Online publication date: 23-Jun-2020
  • (2017)A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud servicesCluster Computing10.1007/s10586-017-1298-1Online publication date: 11-Nov-2017
  • (2016)Scalable and energy efficient software architecture for human behavioral measurement2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2016.7746349(1-8)Online publication date: Oct-2016
  • (2016)A Fog Based Middleware for Automated Compliance With OECD Privacy Principles in Internet of Healthcare ThingsIEEE Access10.1109/ACCESS.2016.26315464(8418-8441)Online publication date: 2016
  • (2014)A Field-Validated Architecture for the Collection of Health-Relevant Behavioural DataProceedings of the 2014 IEEE International Conference on Healthcare Informatics10.1109/ICHI.2014.18(79-88)Online publication date: 15-Sep-2014

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